The Music Mood Identification System is an AI-driven platform designed to analyze music and identify emotional characteristics within audio.
I collaborated on the development of the system and led UX exploration for interfaces that allow users to interact with mood-based music analysis and discover music through emotional relationships rather than traditional genre categories.
Key Focus
• Translating AI-driven music analysis into intuitive user interactions
• Exploring mood-based music discovery beyond traditional genre systems
• Designing interaction models for navigating emotional relationships between songs
